Triple

T15758469
Position Surface form Disambiguated ID Type / Status
Subject Marcello Cervini degli Spannocchi E382030 entity
Predicate givenName P17 FINISHED
Object Marcello E88497 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Marcello | Statement: [Marcello Cervini degli Spannocchi, givenName, Marcello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcello
Context triple: [Marcello Cervini degli Spannocchi, givenName, Marcello]
  • A. Marcello chosen
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • B. Stelio
    Stelio is the given name of Stelio Frati, an Italian aeronautical engineer and aircraft designer renowned for creating light, high-performance airplanes.
  • C. Luciano
    Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
  • D. Renzo
    Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
  • E. Stefano
    Stefano is the Italian given name corresponding to the Hungarian name István, commonly used as a male first name in Italy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b35ea48190a758ee76a57b5451 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3b4378c81908850161988a03b9e completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:47 a.m.